yoshall / DeepLGRLinks
Pytorch Implementation of DeepLGR, ECML-PKDD-20
☆10Updated 5 years ago
Alternatives and similar repositories for DeepLGR
Users that are interested in DeepLGR are comparing it to the libraries listed below
Sorting:
- The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"☆25Updated 2 years ago
- ☆73Updated 2 years ago
- ☆49Updated 3 years ago
- [AAAI'22] Event-Aware Multimodal Mobility Nowcasting☆14Updated 3 years ago
- ☆42Updated 3 years ago
- ☆10Updated 4 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆310Updated 4 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆221Updated 4 years ago
- ☆14Updated 4 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆25Updated 3 years ago
- ☆23Updated 3 years ago
- Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"☆20Updated 3 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated 2 years ago
- A collection of research on spatio-temporal data mining☆156Updated 8 months ago
- few-shot models for short-term traffic prediction☆17Updated 2 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆97Updated 3 years ago
- ☆15Updated last year
- ☆77Updated last year
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆35Updated 2 years ago
- [CIKM'21] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction☆17Updated 3 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆237Updated 4 years ago
- ☆13Updated 3 years ago
- Spatial-Temporal Graph ODE Neural Network☆118Updated 3 years ago
- This is code for 3D Dynamic Graph Convolutional Networks for Crowd Flow Prediction☆19Updated 6 years ago
- ☆66Updated 3 years ago
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- 本仓库包含：时空数据处理、预测领域的相关论文；相关数据集；专家学者信息☆13Updated 4 years ago
- Dynamic Switch-Attention Network☆20Updated 4 years ago
- MetaST for WWW 2019☆52Updated 5 years ago
- AAAIA2020-Accident Forecasting Experiments Setups☆41Updated 4 years ago